Eddie Jennings

About Eddie Jennings

I sincerely appreciate the opportunity to support applications of mathematics, engineering, and computer science including: signal processing, software-defined radio, cybersecurity, and machine learning data and text analytics for the warfighter. I am an experienced system integrator and a daily practitioner of system engineering methods supporting teams in the inception, design, development, configuration management, and maintenance of important products. I work to continuously expand my technological, system engineering, business process, and defense acquisition knowledge base to better serve my current and potential customers. I am driven by important challenges. I take most joy in mentoring teams of highly-motivated, self-driven professionals in supporting multi-program level challenges and facilitating the development of Solutions, composed of Solutions, for customers who develop important Systems of Systems. I\'m gratefully paying back gifts that I was given.

Experience

1. Solutions Architect-chief, Mobility Subject Matter Expert Saic Fellow

   SAIC

   Jul 2020 — Present

   Provide for both direct customer support and support for corporate support.In addition, provide my SME support for corporate Natural Language Processing. Deep Learning image processing, signal processing. and Few-shot, and adaptive learning on corporate Research Fellows efforts.Presented at SAIC Technologies, Tools, and Techniques (T3) Conference in 2017,\"Repeatable Process for A&A and Ad-Hoc Mobile Networks\". Presented as SAIC Research Fellow:• “Maximizing Reuse in Mobile Solution Accreditation”, 2018o Utilized open-source tools and technologies applied to enable maximal use and integration of security assessment artifacts including: Natural Language Processing (NLP) and graph analysis tools for unstructured content correlation and clustering, and structured data organization• “Employing Machine Learning of Unstructured Data in Cybersecurity Controls to Support Development of Accreditation Decision Support Artifacts”,2019o Utilized open-source text analysis and machine learning tools to exploit unstructured relationships among NIST 800-53/CNSSI 1253 Controls and NSA Commercial Solution for Classified (CSfC) Capability Package requirements• “Applications of Few-Shot Adaptive Machine Learning to Small Datasets”, 2020.o Surveyed recent papers and software on “few-shot” learners that adaptatively learn to classify multiple classes from a few instances, also called “shots”, of multi-class data Applied recent open-source Python software to develop prototypes of facial recognition and text classification systems that can be used to support SAIC corporate prototyping efforts.Serve as an SAIC Fellow. I currently co-mentor four Research Fellow effortsI have supported:• Corporate CSfC efforts, including SAIC CSfC Community of Interest (COI) Meetings• 5G NR (Release 16 and later )and Mobility efforts, including technical proposal development, review, and arranging vendors and speakers for the SAIC Mobility COI meetings• Supported SAIC IRAD efforts

Education

• Clemson University

  Doctor of Philosophy (PhD), Mathematical Sciences

  1990 — 1995

• Clemson University

  Master of Science (MS), Mathematical Sciences

  1986 — 1988

• Defense Acquisition University

  Continuing Education, 87 Courses Completed

  2015 — 2017